AI Articles and Analysis in Media

Episode Summary: AI, specifically natural language processing, has made it easier to understand text as a medium in a deeper, more efficient way and at scale. With video, the situation is quite different. AI is already being used to help industries that work in the video medium. However, searching for content within videos is more challenging because video is not just voice and sound, it is also a collection of moving and still images on screen. How could AI work to overcome that challenge?

Speech recognition is technology that can recognize spoken words, which can then be converted to text. A subset of speech recognition is voice recognition, which is the technology for identifying a person based on their voice.

As the web grows and we spend more and more time online, moderation becomes a bigger and bigger challenge. Content influences buyers, and businesses eager to gain the trust of those customers are likely to do whatever they can to win.

eMarketer estimates that 62% of global internet users accessed digital video in 2017, and that number is expected to rise to 63.4% by 2020. This may be marginal growth, but, essentially, consumers are expected to spend more time watching video content. 

Episode summary: In this episode of AI in Industry, we speak with Khalifeh Al Jadda, Lead Data Scientist at CareerBuilder, about the applications of machine learning in improving a user’s search experience.

A 2017 report by the Pew Research Center found that 69 percent of the American public use some type of social media, like Facebook, Twitter, Instagram, and others.

Episode Summary: Natural Language Processing (NLP) can be applied to tasks such as customer service handling or in chatbots to answer fact based questions. Another emerging application for NLP is in content marketing and content production.

Artificial intelligence has found its way in different areas in the entertainment industry from offering customized recommendations on your Friday night movies (as in the case of Netflix) to delivering sports match highlights during live TV coverage. In the latter, this was made possible in the 2017 U.S. Open Tennis Championships when IBM Watson Media used its AI tool to showcase play highlights right after they occur.